815: Polars: Faster DataFrame Ops, with Marco Gorelli
Super Data Science: ML & AI Podcast with Jon Krohn
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Unlocking Data Efficiency with Polars
This chapter explores the advantages of using Polars for data manipulation, particularly through lazy evaluation which enhances speed and memory efficiency compared to traditional pandas. It highlights the unique string optimization techniques that Polars offers, addressing historical challenges with data types in NumPy. By providing case studies, the chapter illustrates the exceptional performance gains Polars can achieve, especially in large datasets and specific tasks like geocoding.
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